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. 2019 Apr 26;15(3):e12814. doi: 10.1111/mcn.12814

Maternal iron intake during pregnancy and the risk of small for gestational age

Juan Miguel Martínez‐Galiano 1,2,, Carmen Amezcua‐Prieto 2,3,4, Naomi Cano‐Ibañez 2,3,4, Inmaculada Salcedo‐Bellido 2,3,4, Aurora Bueno‐Cavanillas 2,3,4, Miguel Delgado‐Rodriguez 1,2
PMCID: PMC7199034  PMID: 30903732

Abstract

Studies of iron and its association with the risk of small for gestational age (SGA) show inconsistent results. Consuming iron supplements during pregnancy is controversial because of possible risks. This study assessed the association between iron intake and the risk of having an SGA newborn and whether iron intake is associated with gestational diabetes. A case–control study of 518 pairs of Spanish women who were pregnant and attending five hospitals was conducted. Groups were matched 1:1 for age (±2 years) and hospital. Cases were women with an SGA newborn at delivery. Controls were women with normal‐sized newborns at delivery. Data were gathered on demographic characteristics, socio‐economic status, adverse habits (like smoking), and diet. A 137‐item food frequency questionnaire was completed. Iron intakes were categorized in quintiles (Q1–Q5). Crude odds ratios (ORs) and adjusted ORs (aORs) with 95% confidence intervals (CIs) were estimated by conditional logistic regression. No significant relationship was found between dietary iron intake and SGA. A protective association was found for women receiving iron supplementation >40 mg/day and SGA versus women not taking supplements (aOR = 0.64, 95% CI [0.42, 0.99]). This association was identified in mothers both with (aOR = 0.57, 95% CI [0.40, 0.81]) and without (aOR = 0.64, 95% CI [0.64, 0.97]) anaemia. In women in the control group without anaemia, iron supplementation >40 mg/day was positively associated with gestational diabetes (aOR = 6.32, 95% CI [1.97, 20.23]). Iron supplementation in pregnancy may prevent SGA independently of existing anaemia but may also increase the risk of gestational diabetes.

Keywords: diabetes, diet, iron, maternal nutrition, pregnancy, SGA


Key messages.

  • The consumption of iron from the diet is unrelated to the risk of SGA.

  • Iron supplementation >40 mg/day decreases the risk. This intake is associated with a higher frequency of gestational diabetes.

  • No association between iron supplements and gestational diabetes was found in women with anaemia.

1. INTRODUCTION

Iron is a micronutrient that plays a fundamental role during pregnancy because of its role in the growth, haematopoiesis, and development of the fetus (Marangoni et al., 2016; Peña‐Rosas, De‐Regil, Dowswell & Viteri, 2012; Taylor et al., 2017). Iron deficiency in pregnant women leads to iron‐deficiency anaemia, which affects 14% of the population in industrialized countries and between 35% and 75% of pregnant women in developing countries (United Nations Administrative Committee on Coordination/Standing Committee on Nutrition, 2004; World Health Organization [WHO], 1992).

The evidence supports the effectiveness of routine iron supplementation during pregnancy for improving maternal haematological indices, but the clinical significance for pregnant women and their newborns remains unclear (Brannon, Stover, & Taylor, 2017; Brannon & Taylor, 2017; Cantor, Bougatsos, Dana, Blazina, & McDonagh, 2015; Demuth, Martin, & Weissenborn, 2018; Marangoni et al., 2016; O'Brien & Ru, 2017). Despite this, the WHO recommends universal iron supplements of 30–60 mg/day during pregnancy (WHO, 2016a, 2016b). Supplementation with these micronutrients is not without risks (Calderón Vélez, 2007; Dewey & Oaks, 2017; Marangoni et al., 2016; Scanlon, Yip, Schieve, & Cogswell, 2000; Shastri et al., 2015). Prenatal daily iron supplements are effective in reducing the risk of low birthweight and preventing maternal anaemia and iron deficiency in pregnancy, but women receiving iron are more likely to have higher haemoglobin concentrations. Emerging and preliminary evidence demonstrates a U‐shaped risk in women with both low and high iron status for adverse health outcomes at birth and in infants, including growth, preterm birth, and gestational diabetes mellitus (Calderón Vélez, 2007; Dewey & Oaks, 2017; Marangoni et al., 2016; Scanlon et al., 2000; Shastri et al., 2015).

One of the effects of iron is its relationship with the risk of small for gestational age (SGA; Gómez Roig et al., 2017; Yang et al., 2017). Gómez Roig et al. (2017) studied 46 mothers with SGA newborns and 81 controls, reporting that mothers with a lower dietary iron intake were more frequently in the group with an SGA newborn. Similar results were observed in a study carried out in China, where the highest tertile of iron intake compared with the lowest tertile was negatively associated with SGA (OR = 0.76, 95% CI [0.62, 0.94]); however, this study did not find any association between the consumption of iron supplements and risk of an SGA newborn (Yang et al., 2017).

In Spain, it is recommended by the national public programme to take supplements of iron if a physician considers necessary. In a previous study in northern Spanish women, 20% pregnant women did not take iron supplements and it was associated to an increased risk of low birthweight (Palma et al., 2008). An important limitation of this study was that iron from diet intake was not assessed, and the sample size lacked enough statistical power to detect any association with adverse outcomes due to iron supplements. In this study, we have tried to overcome this drawback by applying a food frequency questionnaire (FFQ) to assess iron intake from diet and to a larger sample. Therefore, the main objectives of this study were to assess the relationship between iron intake (either through diet or through supplements) and SGA and gestational diabetes.

2. METHODS

The study population comprised women from five hospitals in Eastern Andalusia (Spain) serving 1.8 million people: University of Jaen Hospital, Ubeda Hospital, University of Granada Hospitals (two centres), and Poniente Hospital. Case and control groups were enrolled from May 15, 2012, through July 15, 2015. The Ethics Committees of the hospitals authorized this study. Informed consent was sought from every eligible woman.

We estimated the appropriate sample size based on the results of a similar study (Ricci, Chiaffarino, Cipriani, Malvezzi, & Parazzini, 2010). To detect a significant (P < .05, odds ratio [OR] = 0.6) difference between extreme quintiles with a statistical power of 80%, considering possible loss due to unreliable diet answers (10%), final estimated sample size was 1,050 subjects, including 525 cases and 525 controls.

2.1. Cases

The eligibility criteria for cases were delivery of a single, live newborn diagnosed as SGA according to the tables developed for the Spanish population (Delgado‐Beltrán et al., 1996), without congenital malformations during the study period, and residence in the referral area of the hospital. Nineteen women declined to participate. A total of 533 cases were selected: 79 from University of Jaen Hospital, 369 from University of Granada Hospitals, 46 from Ubeda Hospital, and 39 from Poniente Hospital.

2.2. Controls

A matching control based on age at delivery (±2 years) was selected at the same hospital within 1 week of including a case. Eligible women had a normal‐sized newborn with no congenital malformations and resided in the referral area of the hospital. Sixty‐five women in the control group declined to participate. (Figure 1).

Figure 1.

Figure 1

Participants' flowchart

2.3. Data collection

Three sources of data were used: personal interviews (conducted within 2 days after delivery), clinical charts, and prenatal care records. Information was obtained on the following variables: mother's vital statistics (age at pregnancy, race, pre‐pregnancy body mass index [BMI], education level, marital status, income level, and occupation), obstetric history (parity and abortions), previous adverse perinatal outcomes, conditions during pregnancy (infections, pre‐eclampsia, diabetes, and other obstetric conditions), birthweight (weight in grams in the delivery room), prescribed and over‐the‐counter drugs, smoking during pregnancy, and prenatal care (number of visits and date of first visit and weight gain during pregnancy). Social class was coded in five main levels ranging from I (highest) to V (lowest) according to the classification of the Spanish Society of Epidemiology (Álvarez‐Dardet, Alonso, Domingo, & Regidor, 1995), which is similar to that of the Black Report (Townsend & Davidson, 1982). Prenatal care utilization was measured using the Kessner Index (Kessner, Singer, & Kalk, 1993). Alcohol consumption during and before pregnancy was assessed with a structured questionnaire in which the number of drinks and type of drink on weekdays, weekends (including Friday evening), and holidays (including the holiday eve) were recorded.

2.4. Dietary assessment

The baseline questionnaire included a semiquantitative FFQ that was previously validated in Spain (de la Fuente‐Arrillaga, Ruiz, Bes‐Rastrollo, Sampson, & Martinez‐Gonzalez, 2010), which consists of 137 items and open‐ended questions related to information about the use of dietary supplements (Martin‐Moreno et al., 1993). The questionnaire was based on typical portion sizes and had nine options for the frequency of intake in the previous year for each food item (ranging from never or almost never to ≥6 times/day). A dietitian updated the nutrient data bank using the latest available information included in the food composition tables for Spain (Mataix Verdú, 2003; Moreiras, Carbajal, Cabrera, & Cuadrado, 2003). After computing the total energy intake, a total of 15 matched pairs were excluded because of an unreliable dietary assessment (total energy intake >4,000 Kcal/day), leaving 518 pairs for analysis. Eighty women who did not remember the brand of the supplement (43 in SGA newborn group and 38 in control group). The possible cut‐off points of iron contents in supplements were based on the usual concentration of commercial brands: 14, 28, 40, and 80 mg. After a sensitivity analysis, the dose of 40 mg was chosen as it better defines a group at higher risk.

2.5. Statistical analysis

The main outcome is SGA. Gestational diabetes was assessed as a secondary outcome in the control group: This was done so as the group of SGA cases does not represent the general population. Food and nutrient intakes were adjusted for total energy intake using the residuals method, and separate regression models were performed to obtain the residuals (Willet, 1998). Energy‐adjusted food or nutrient intakes were categorized in quintiles. ORs and their 95% confidence intervals (CIs) were estimated by conditional regression logistic models, with adjustment for potential confounders (adjusted OR [aOR]). To determine the variables to be included in the multivariate analysis, the procedure described by Sun, Shook, and Kay (1996) was followed. Intermediate variables were discarded. We ran two stepwise models, one backward and another forward, including variables with a value of P < .2 (Maldonado & Greenland, 1993; Mickey & Greenland, 1989). We constructed a list of predictors of SGA identified in other studies. Using information from stepwise models and the list of predictors, a saturated model was built, and by using a heuristic approach, variables that did not change the coefficient of the bundles by more than 10% were discarded, in order to construct a parsimonious model retaining all important confounders. A priori, we evaluated SGA risk factors in mothers that were related to diet (i.e., tobacco use, pregestational BMI, body weight, and educational level) as potential confounders. The model was adjusted for the following maternal factors: pre‐eclampsia, smoking, BMI, total food energy, previous preterm/low‐birthweight newborn, and anaemia during pregnancy. All P values are two‐tailed. Significance was set at P < .05. Analyses were performed with Stata 14 (College Station, TX).

3. RESULTS

The characteristics of the study population can be seen in Table 1. Smoking habits of the mother, having a previous low‐birthweight newborn and/or SGA newborn, weight gain during pregnancy, BMI, intrauterine growth retardation, and pre‐eclampsia during pregnancy were identified as risk factors for SGA (P < .001).

Table 1.

Description of the study population

Variable Cases Controls P value
Marital status, n (%) .036
Single 37 (7.1) 42 (8.1)
Stable couple 161 (31.1) 124 (23.9)
Married 320 (61.8) 352 (68.0)
Education level, n (%) .084
Primary 112 (21.6) 93 (17.9)
High school, not completed 42 (8.1) 28 (5.4)
High school, completed 185 (35.7) 190 (36.7)
University 179 (34.6) 207 (40.0)
Previous preterm/low‐birthweight newborn, n (%) 454 (87.6) 492 (95.0) <.001
Kessner index (prenatal care), n (%) .737
Adequate 259 (50.0) 253 (48.8)
Intermediate 185 (35.7) 182 (35.2)
Inadequate 74 (14.3) 83 (16.0)
Smoking during pregnancy, n (%) 149 (28.8) 80 (15.4) <.001
Pre‐eclampsia, n (%) 46 (8.9) 11 (2.1) <.001
Intrauterine growth retardation, n (%) 141 (27.2) 8 (1.5) <.001
Weight gain during pregnancy (g/week), mean (SD) 278 (121) 310 (114) <.001
Body mass index, mean (SD) 23.1 (4.5) 23.9 (4.1) <.001
Alcohol intake (g/week), mean (SD) 4.2 (18.5) 3.1 (15.2) .312

Dietary intake of iron (milligrams per day) was not associated with the risk of SGA (Table 2). Iron supplementation >40 mg/day showed a protective association with SGA in both the crude analysis (OR = 0.55, 95% CI [0.39, 0.77]) and the adjusted analysis (aOR = 0.64, 95% CI [0.42, 0.99]). Iron supplements were also analysed according to the existence of anaemia; in this situation, the reference was women without anaemia and not taking iron supplements. The number of women with anaemia who did not take iron supplements was very low (n = 23) and this result, although showing a protective association, is not reliable. The results of iron supplements in women without anaemia showed similar results, but significance was only reached with supplements containing iron ˃40 mg/day (aOR = 0.64, 95% CI [0.43, 0.97]). In pregnant women with anaemia, iron supplementation behaved in the same manner (aOR = 0.57, 95% CI [0.40, 0.81]).

Table 2.

Intake of iron in the diet and with supplements during pregnancy and risk of small for gestational age

Cases n (%) Controls n (%) OR (95% CI) aOR (95% CI)
Diet iron, quintiles (mg/day)
<15.9 115 (22.2) 104 (20.1) 1 “Reference” 1 “Reference”
15.9–17.7 120 (23.2) 104 (20.1) 1.04 [0.71, 1.51] 1.04 [0.67, 1.59]a
17.8–19.2 103 (19.9) 103 (19.9) 0.89 [0.62, 1.30] 0.90 [0.59, 1.37]
19.3–21.3 73 (14.5) 104 (20.1) 0.65 [0.43, 0.97] 0.56 [0.35, 0.90]
>21.3 105 (20.3) 103 (19.9) 0.92 [0.63, 1.36] 0.97 [0.62, 1.52]
Iron (supplement)
No 255 (49.2) 210 (40.5) 1 “Reference” 1 “Reference”
Yes 263 (50.8) 308 (59.5) 0.68 [0.53, 0.88] 0.76 [0.55, 1.04]a
≤40 mg/day 117 (24.6) 111 (23.1) 0.82 [0.58, 1.16] 0.80 [0.54, 1.17]
>40 mg/day 103 (21.6) 159 (33.1) 0.55 [0.39, 0.77] 0.64 [0.42, 0.99]
Unknownc 43 (4.6) 38 (3.3)
No anaemia and no iron supplement 247 (47.7) 195 (37.6) 1 “Reference” 1 “Reference”
Anaemia and no iron 8 (9.7) 15 (2.9) 0.37 [0.14, 0.99] 0.34 [0.12, 0.99]b
No anaemia and iron 158 (30.5) 171 (33.0) 0.71 [0.53, 0.96] 0.73 [0.50, 1.06]b
≤40 mg/day 87 (16.8) 87 (16.8) 0.77 [0.54, 1.10] 0.73 [0.50, 1.06]
>40 mg/day 71 (13.7) 84 (16.2) 0.65 [0.44, 0.95] 0.64 [0.43, 0.97]
Anaemia and iron 105 (20.3) 137 (26.5) 0.59 [0.42, 0.81] 0.57 [0.40, 0.81]b

Abbreviations: aOR, adjusted odd ratio; CI, confidence interval; OR, odd ratio.

a

Adjusted for pre‐eclampsia, smoking, body mass index, iron supplements, total food energy, previous preterm/low‐birthweight newborn, and anaemia during pregnancy.

b

Adjusted for pre‐eclampsia, smoking, body mass index, total food energy, and previous preterm/low‐birthweight newborn.

c

Women who did not remember the brand of the supplement.

The relationship between iron intake and gestational diabetes was assessed in the control group (Table 3). First, dietary iron, grouped in intake quintiles, was ascertained. Although no one estimate reached statistical significance, the trend was significant (the higher the intake, the higher the risk) in both crude and adjusted analyses. Iron supplements increased the risk of gestational diabetes when the intake was >40 mg/day (aOR = 3.53, 95% CI [1.37, 9.05]). The results were stratified by anaemia status. No association between iron supplements and gestational diabetes was found in women with anaemia; however, in nonanaemic women, an intake >40 mg/day was associated with a higher risk of gestational diabetes (aOR = 6.32, 95% CI [1.97, 20.23]). The consumption of iron supplements before the 12th week of gestation or before pregnancy (14 women) showed no association with the risk of gestational diabetes (aOR = 0.38, 95% CI [0.04, 3.19]); this association was detected when iron supplements were taken after the first 12 weeks of gestation (aOR = 3.40, 95% CI [1.34, 8.58]).

Table 3.

Intake of iron during pregnancy and risk of gestational diabetes mellitus in the control group

Total Gestational diabetes mellitus n (%) OR (95% CI) aORa (95% CI)
All control women
Dietary iron, quintiles (mg/day)
<15.9 104 4 (3.85) 1 “Reference” 1 “Reference”
15.9–17.7 104 8 (7.69) 2.08 [0.61, 7.14] 2.08 [0.61, 7.37]
17.8–19.2 103 3 (2.91) 0.75 [0.16, 3.44] 0.72 [0.15, 3.40]
19.3–21.3 104 3 (2.88) 0.74 [0.16, 3.40] 0.79 [0.17, 3.68]
>21.3 103 10 (9.71) 2.69 [0.81, 8.87] 2.71 [0.80, 9.14]
P for trend .036 .040
Iron (supplement)
No 210 8 (3.81) 1 “Reference” 1 “Reference”
Yes: Timing
Early (<12 week) 87 1 (1.15) 0.29 [0.04, 2.38] 0.38 [0.04, 3.19]
Late 191 18 (9.42) 2.38 [1.01, 5.55] 3.40 [1.34, 8.58]
Yes: dose
≤40 mg/day 111 4 (3.60) 0.94 [0.28, 3.21] 1.35 [0.37, 4.89]
>40 mg/day 159 15 (9.43) 2.63 [1.09, 6.37] 3.53 [1.37, 9.05]
Anaemic women
Iron (supplement)
No 15 1 (1.67) 1 “Reference” 1 “Reference”
Yes
≤40 mg/day 24 2 (8.33) 1.27 [0.11, 15.38] 1 [0.72, 13.70]
>40 mg/day 94 7 (7.45) 1.13 [0.13, 9.87] 0.98 [0.10, 9.23]
Nonanaemic women
Iron (supplement)
No 195 7 (3.59) 1 “Reference” 1 “Reference”
Yes
≤40 mg/day 87 2 (2.30) 0.63 [0.13, 3.11] 1.08 [0.20, 5.81]
>40 mg/day 65 8 (12.31) 3.77 [1.31, 10.85] 6.32 [1.97, 20.23]

Abbreviations: aOR, adjusted odd ratio; CI, confidence interval; OR, odd ratio.

a

Adjusted for total food energy, body mass index, and education level.

4. DISCUSSION

According to our results, the consumption of iron from the diet is unrelated to the risk of SGA, whereas iron supplementation >40 mg/day decreases the risk. This intake is associated with a higher frequency of gestational diabetes in nonanaemic women in the control group.

In Spain, there is no universal recommendation to take iron supplements during pregnancy; it is an optional criterion of the professional in charge of carrying out pregnancy control individually in each case (Department of Equality, Health and Social Policies of the Junta de Andalucia, 2014).

We used Spanish fetal growth curves to define adequate size for gestational age (Delgado‐Beltrán et al., 1996). The cut‐off points of INTERGROWTH‐21st (2018) for newborn weight are very similar to those taken in the fetal growth curves for Spain (Delgado‐Beltrán et al., 1996). For instance, for boys in INTERGROWTH curves, percentile 10 (P10) for Weeks 37 and 40 are 2.38 and 2.88 kg, respectively, whereas for Spaniards boys are 2.40 and 2.87 kg (very close to the previous figures). The same occurs for girls; P10 in INTERGROWTH‐21 are 2.33 and 2.78 kg for Weeks 37 and 40, very similar to the 2.32 and 2.76 kg in Spain (INTERGROWTH‐21st, 2018). The applied FFQ was validated in a Spanish population previously (Martin‐Moreno et al., 1993; Mataix Verdú, 2003). The control group was selected by density in the same hospitals as the cases to represent the regular dietary intake of the reference pregnant female population from the area serviced by those hospitals and to avoid seasonal differences between cases and controls. A selection bias was unlikely, because the number of women who refused to participate was rather small (4% for the cases of SGA and 12% for the group of newborn adequate for gestational age).

Our study may have several limitations. All questionnaires were recorded after birth but before hospital discharge, with the intention of estimating the average dietary intake during pregnancy. We cannot discard a memory bias in case–control studies, but, if present, we think it will be a nondifferential bias as no relationship between a particular food intake or supplement and SGA beforehand is assumed. Also, interviewers did not know the aims of this study, and we asked to participating women to inform about changes produced in their dietary habits during pregnancy, to ascertain whether the changes were more relevant in cases than in controls, thus putting into evidence a differential misclassification bias. The change of diet during pregnancy and the differences between cases in controls were minimal (1–2% better for cases). Residual confounding cannot be completely ruled out.

We did not observe an association between dietary iron and SGA. However, two other studies reported an inverse relationship between iron intake from the maternal diet and SGA in a Spanish (Gómez Roig et al., 2017) and a Chinese (Yang et al., 2017) population.

According to our results, iron supplements have a protective effect against SGA, even in women without anaemia, when the intake is >40 mg/day. Palma et al. (2008) identified an association between the consumption of iron supplements in women without anaemia and the low‐birthweight newborn, in line with our results. On the contrary, other reports do not support our results. Neither a Chinese study of 7,375 women (Gómez Roig et al., 2017) nor an Indian one of 1,196 women (Shastri et al., 2015) found any association between iron supplementation and SGA.

The association between iron supplementation and gestational diabetes was analysed in the control group because the case group does not represent the general population. Our results agree with other studies in which iron supplements in nonanaemic pregnant women are associated with a higher incidence of gestational diabetes (Dewey & Oaks, 2017; Marangoni et al., 2016). The U.S. Preventive Services Task Force concluded that the evidence is insufficient to recommend for or against routine iron supplementation for nonanaemic pregnant women (Siu & Force USPST, 2015). A case–control study of 107 women with and 214 controls without anaemia, with the aim of prospectively and longitudinally investigating maternal iron status during early to midpregnancy and subsequent risk of gestational diabetes mellitus, suggested that elevated iron stores may be involved in the development of gestational diabetes mellitus from as early as the first trimester (Rawal et al., 2017). We did not detect an association between iron supplements during the first 12 weeks of gestation and the risk of gestational diabetes. In a study carried out on 231 pregnant women with neither diabetes mellitus nor gestational diabetes mellitus, Renz, Hernandez, and Camargo (2018) assessed the effects of iron supplements on HbA1c in anaemic and nonanaemic women. No changes were observed in nonanaemic women taking iron supplements. After a review of the scientific literature on iron supplementation in pregnancy and childhood, Brannon et al. (2017) affirmed that further research is needed to clarify the relationship of high iron status and supplementation in iron‐replete pregnant women and the risk for gestational diabetes. Iron is in food in two forms: haem iron and nonhaem iron. A recent review suggests that the increased risk of gestational diabetes does not result from short exposures to iron supplements during pregnancy but is associated with higher intakes of dietary haem‐containing iron during the preconceptional and early pregnancy period (Khambalia et al., 2016). We assessed preconceptional iron supplements, which was reported by 14 control women, and no case of gestational diabetes was detected.

Contrary to our results, Fu, Li, Zhou, and Liu (2016) concluded that dietary total iron has no relationship with gestational diabetes. On the contrary and agreeing with our results, Zhao et al. (2017) found that an increased dietary intake of iron was positively associated with the risk of gestational diabetes. Qiu et al. (2011) also reported that high levels of dietary haem iron intake during the preconceptional and early pregnancy periods may be associated with an increased risk of gestational diabetes, but the association between gestational diabetes risk and nonhaem dietary iron intake is less clear. Zhang and Rawal (2017) in a systematic review of several randomized control trials and observational studies suggested that dietary iron, particularly haem iron intake during or before pregnancy, is significantly and positively associated with gestational diabetes mellitus even after the adjustment for major dietary factors and other major well‐documented risk factors for gestational diabetes mellitus. Kataria, Wu, Horskjær, Mandrup‐Poulsen, and Ellervik (2018) in a meta‐analysis concluded accumulating evidence that suggests that circulating and dietary iron biomarkers among pregnant women are associated with gestational diabetes mellitus, but the results should be interpreted with caution due to the high heterogeneity of analyses. Randomized trials investigating the benefits of iron reduction in women at high risk for gestational diabetes mellitus are warranted.

The embryonic period (the first 12 weeks of gestation) is characterized by the formation of tissues and organs from the embryonic leaves (organogenesis) and placental growth. It is evident that pregnant women have an increased demand for iron in this period (Kataria et al., 2018; Marangoni et al., 2016). Therefore, the intake of iron supplements would go to the formation of those organs and tissues. After 12 weeks of gestation, the iron needs would decrease because they would no longer be required for the formation of these. This extra iron supply is no longer necessary and may have an influence on the maternal levels. Evidence from experimental studies has demonstrated that higher than normal iron concentrations can lead to pancreatic β cell dysfunction and impaired glucose metabolism (Bowers et al., 2016). In addition, iron is a fundamental element of haemoglobin, and high levels of haemoglobin have been associated with the risk of gestational diabetes (Nastaran, Nourossadat, Abbas, & Hamid, 2012).

5. CONCLUSION

Iron supplementation had a protective role in relation to SGA. No association between iron intake in the maternal diet and SGA was established. Iron supplementation >40 mg/day was associated with a higher frequency of gestational diabetes in nonanaemic women.

CONFLICTS OF INTEREST

The authors declare that they have no conflicts of interest.

CONTRIBUTIONS

MD‐R and JMM‐G conceived and designed the study. MD‐R and AB‐C analysed the data. CA‐P, NC‐I, IS‐B, and JMM‐G coordinated data collection. The first draft of the paper was written by MD‐R and JMM‐G. All of the authors discussed, made contributions to the article, and approved the final version of the manuscript.

ACKNOWLEDGMENTS

We thank the women who participated in the study and the interviewers.

Martínez‐Galiano JM, Amezcua‐Prieto C, Cano‐Ibañez N, Salcedo‐Bellido I, Bueno‐Cavanillas A, Delgado‐Rodriguez M. Maternal iron intake during pregnancy and the risk of small for gestational age. Matern Child Nutr. 2019;15:e12814 10.1111/mcn.12814

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